microsoft/call-center-ai
Call Center Ai
This project is an AI-driven phone agent platform and telephony gateway designed to automate inbound and outbound voice interactions. It functions as a conversational voicebot system that utilizes large language models to conduct natural language phone conversations for customer support and data collection.
The platform distinguishes itself through the integration of retrieval-augmented generation, allowing voice agents to search internal knowledge bases for domain-specific answers during live calls. It features automated language detection to support multilingual conversations and a system for parsing unstructured audio into structured data fields based on predefined schemas.
The system includes capabilities for multi-channel messaging via SMS, real-time telemetry monitoring for latency and token usage, and safety-layer moderation to block harmful content. It also provides tools for call recording, conversation review, and language model fine-tuning using historical transcripts.
Features
- API-Driven Call Automation - Provides an API-driven gateway to automate inbound and outbound telephony calls using AI agents.
- Knowledge Base Retrieval - Retrieves enterprise knowledge from indexed internal documents to provide context-aware AI responses.
- Phone Call Handlers - Provides AI agents that handle natural language interactions over traditional phone lines.
- AI Telephony Systems - Acts as an AI telephony system managing phone interactions via SIP/PSTN connectivity and APIs.
- Spoken Language Detection - Identifies the language being spoken in real-time audio signals to switch linguistic models dynamically.
- Multilingual Conversational AI - Conducts natural, multi-turn dialogue across multiple languages for global phone outreach.
- Multilingual Conversational Interaction - Automatically detects user languages and conducts multi-turn voice interactions in multiple languages.
- RAG Context Retrieval - Retrieves relevant document segments from internal knowledge bases to ground AI voice responses.
- Structured Data Extraction - Parses unstructured conversation audio into structured data fields using predefined schemas.
- Conversational AI - Functions as a conversational AI platform for building automated voicebots for support and data collection.
- Structured Data Collection Workflows - Executes conversational workflows to capture and validate structured user information during calls.
- RAG-Enhanced Call Answerers - Answers phone calls using knowledge retrieved from RAG-backed vector stores for domain-specific responses.
- Agent Persona Configurations - Provides settings to define AI agent personas, brand identities, and voice tones for consistent call behavior.
- Call Recording Transcribers - Captures audio from AI agent phone conversations and generates transcripts for quality assurance.
- Language Model Fine-Tuning - Fine-tunes language models using historical transcripts to improve recognition of industry-specific terminology.
- Outbound Call Initiators - Enables programmatically initiating outbound phone calls via external API requests.
- Content Moderation - Filters AI inputs and outputs to detect jailbreaks and block harmful content.
- Real-Time Session Monitors - Monitors real-time token usage and latency to ensure high audio quality and system performance.
Star history
How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
